SlideShare a Scribd company logo
1 of 69
Binary Trees
Parts of a binary tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Picture of a binary tree a b c d e g h i l f j k
Size and depth ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],a b c d e f g h i j k l
Balance ,[object Object],[object Object],a b c d e f g h i j A balanced binary tree a b c d e f g h i j An unbalanced binary tree
Binary search in an array ,[object Object],2 3 5 7 11 13 17 0  1  2  3  4  5  6 Searching for 5: (0+6)/2 = 3 hi = 2; (0 + 2)/2 = 1 lo = 2; (2+2)/2=2 7 3 13 2 5 11 17 Using a binary search tree
Tree traversals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Preorder traversal ,[object Object],[object Object],[object Object]
Inorder traversal ,[object Object],[object Object],[object Object]
Postorder traversal ,[object Object],[object Object],[object Object]
Tree traversals using “flags” ,[object Object],[object Object],preorder inorder postorder A B C D E F G A B C D E F G A B C D E F G A B D E C F G D B E A F C G D E B F G C A
Copying a binary tree ,[object Object],[object Object],[object Object]
Other traversals ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tree searches ,[object Object],[object Object],L M N O P G Q H J I K F E D B C A Goal nodes
Depth-first searching ,[object Object],[object Object],[object Object],[object Object],L M N O P G Q H J I K F E D B C A
How to do depth-first searching ,[object Object],[object Object],[object Object],[object Object],[object Object]
Depth-First Search A B C D E F G A  B D E C F G Stack: Current:
Depth-First Search A B C D E F G Undiscovered Marked Finished Active B newly discovered Stack: (A, C); (A, B) Current:
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active A already marked Visited B Stack: (B, E); (B, D); (B, A) (A, C); (A, B)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active A already marked Visited B A Stack: (B, E); (B, D); (B, A) (A, C); (A, B)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active D newly discovered A Stack: (B, E); (B, D); (B, A) (A, C); (A, B)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Visited D A   B Stack: (B, E); (B, D); (B, A) (A, C); (A, B) (B, D) Marked B
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Finished D A   B Stack: (B, E); (B, D); (B, A) (A, C); (A, B)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active E newly discovered Stack: (B, E); (B, D); (B, A) (A, C); (A, B) A  B D Backtrack B
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Visited E Stack: (B, E); (B, D); (B, A) (A, C); (A, B) A  B D (B, E)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Finished E Stack: (B, E); (B, D); (B, A) (A, C); (A, B) A  B D
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (B, E); (B, D); (B, A) (A, C); (A, B) A  B D E
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (A, C); (A, B) A  B D E Backtrack B
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (A, C); (A, B) A  B D E Backtrack A Finished B C newly discovered
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) A  B D E Visited C (A, C); (A, B)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) Marked C (A, C); (A, B) F newly discovered A  B D E C
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) (A, C); (A, B) Visited F A  B D E C (F, C)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) (A, C); (A, B) Finished F A  B D E C
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) (A, C); (A, B) Backtrack C G newly discovered A  B D E C F
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) (A, C); (A, B) Marked C Visited G A  B D E C F (G, C)
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (C, G); (C, F); (C, A) (A, C); (A, B) Backtrack C Finished G A  B D E C F G
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: (A, C); (A, B) Finished C A  B D E C F G Backtrack A
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active Stack: A  B D E C F G Finished A
Depth-First Search A B C D E F G Current: Undiscovered Marked Finished Active A  B D E C F G
Breadth-first searching ,[object Object],[object Object],[object Object],[object Object],L M N O P G Q H J I K F E D B C A
How to do breadth-first searching ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Breadth-First Search A B C D E F G A  B  C  D  E  F  G Queue: Current:
Breadth-First Search A B C D E F G Queue: Current: A
Breadth-First Search A B C D E F G Queue: Current: A A
Breadth-First Search A B C D E F G Queue: Current: A A
Breadth-First Search A B C D E F G Queue: Current: B A A
Breadth-First Search A B C D E F G Queue: Current: C B A A
Breadth-First Search A B C D E F G Queue: Current: B A C B
Breadth-First Search A B C D E F G Queue: Current: B C A  B
Breadth-First Search A B C D E F G Queue: Current: D C B A  B
Breadth-First Search A B C D E F G Queue: Current: E D C B A  B
Breadth-First Search A B C D E F G Queue: Current: C E D C A  B
Breadth-First Search A B C D E F G Queue: Current: C A  B  C E D
Breadth-First Search A B C D E F G Queue: Current: C A  B  C F E D
Breadth-First Search A B C D E F G Queue: Current: C A  B  C G F E D
Breadth-First Search A B C D E F G Queue: Current: D A  B  C G F E D
Breadth-First Search A  B  C  D A B C D E F G Queue: Current: D G F E
Breadth-First Search A B C D E F G A  B  C  D Queue: Current: E G F E
Breadth-First Search A B C D E F G Queue: Current: F G A  B  C  D  E  F
Breadth-First Search A B C D E F G Queue: Current: G G A  B  C  D  E  F
Breadth-First Search A B C D E F G Queue: Current: G A  B  C  D  E  F  G
Breadth-First Search A B C D E F G A  B  C  D  E  F  G
Depth- vs. breadth-first searching ,[object Object],[object Object],[object Object],[object Object],[object Object]
findMin/ findMax ,[object Object],[object Object],[object Object],[object Object]
insert ,[object Object],[object Object],[object Object],[object Object]
delete ,[object Object],[object Object]
Delete cont… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Delete cont… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you for listening!

More Related Content

What's hot

What's hot (20)

trees in data structure
trees in data structure trees in data structure
trees in data structure
 
Linked List
Linked ListLinked List
Linked List
 
Linked list
Linked listLinked list
Linked list
 
Binary tree
Binary tree Binary tree
Binary tree
 
Binary search tree
Binary search treeBinary search tree
Binary search tree
 
Circular link list.ppt
Circular link list.pptCircular link list.ppt
Circular link list.ppt
 
Linear data structure concepts
Linear data structure conceptsLinear data structure concepts
Linear data structure concepts
 
Graph in data structure
Graph in data structureGraph in data structure
Graph in data structure
 
Binary tree
Binary  treeBinary  tree
Binary tree
 
Binary Tree Traversal
Binary Tree TraversalBinary Tree Traversal
Binary Tree Traversal
 
Queue AS an ADT (Abstract Data Type)
Queue AS an ADT (Abstract Data Type)Queue AS an ADT (Abstract Data Type)
Queue AS an ADT (Abstract Data Type)
 
Linked list
Linked listLinked list
Linked list
 
Expression trees
Expression treesExpression trees
Expression trees
 
Lec 17 heap data structure
Lec 17 heap data structureLec 17 heap data structure
Lec 17 heap data structure
 
Heap tree
Heap treeHeap tree
Heap tree
 
Double Linked List (Algorithm)
Double Linked List (Algorithm)Double Linked List (Algorithm)
Double Linked List (Algorithm)
 
Data Structure (Tree)
Data Structure (Tree)Data Structure (Tree)
Data Structure (Tree)
 
Threaded Binary Tree
Threaded Binary TreeThreaded Binary Tree
Threaded Binary Tree
 
Depth first search and breadth first searching
Depth first search and breadth first searchingDepth first search and breadth first searching
Depth first search and breadth first searching
 
1.1 binary tree
1.1 binary tree1.1 binary tree
1.1 binary tree
 

Similar to (Binary tree)

Similar to (Binary tree) (20)

Bfs & dfs application
Bfs & dfs applicationBfs & dfs application
Bfs & dfs application
 
Breadth First Search (BFS)
Breadth First Search (BFS)Breadth First Search (BFS)
Breadth First Search (BFS)
 
Binary trees
Binary treesBinary trees
Binary trees
 
Uniformed tree searching
Uniformed tree searching Uniformed tree searching
Uniformed tree searching
 
Data structures algoritghm for binary tree method.ppt
Data structures algoritghm for binary tree method.pptData structures algoritghm for binary tree method.ppt
Data structures algoritghm for binary tree method.ppt
 
ISA23 .pptx
ISA23 .pptxISA23 .pptx
ISA23 .pptx
 
Lec216
Lec216Lec216
Lec216
 
bfs[1].pptx
bfs[1].pptxbfs[1].pptx
bfs[1].pptx
 
Lec21
Lec21Lec21
Lec21
 
DATA STRUCTURES
DATA STRUCTURESDATA STRUCTURES
DATA STRUCTURES
 
bca data structure
bca data structurebca data structure
bca data structure
 
Final slide4 (bsc csit) chapter 4
Final slide4 (bsc csit) chapter 4Final slide4 (bsc csit) chapter 4
Final slide4 (bsc csit) chapter 4
 
Unit 4.2(graphs)
Unit 4.2(graphs)Unit 4.2(graphs)
Unit 4.2(graphs)
 
09 binary-trees
09 binary-trees09 binary-trees
09 binary-trees
 
ai (1) (1).pptx
ai (1) (1).pptxai (1) (1).pptx
ai (1) (1).pptx
 
Presentasi Eclat
Presentasi EclatPresentasi Eclat
Presentasi Eclat
 
Algorithm
AlgorithmAlgorithm
Algorithm
 
Topic18BinaryTrees.pptx
Topic18BinaryTrees.pptxTopic18BinaryTrees.pptx
Topic18BinaryTrees.pptx
 
DS MCQS.pptx
DS MCQS.pptxDS MCQS.pptx
DS MCQS.pptx
 
Lect 22 Zaheer Abbas
Lect 22 Zaheer AbbasLect 22 Zaheer Abbas
Lect 22 Zaheer Abbas
 

More from almario1988

Module 1.4 internal analysis
Module 1.4    internal analysisModule 1.4    internal analysis
Module 1.4 internal analysisalmario1988
 
Module 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipModule 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipalmario1988
 
Module 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipModule 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipalmario1988
 
Power point2007 chapter_3
Power point2007 chapter_3Power point2007 chapter_3
Power point2007 chapter_3almario1988
 
Power point2007 chapter_3
Power point2007 chapter_3Power point2007 chapter_3
Power point2007 chapter_3almario1988
 
Power point2007 chapter_2
Power point2007 chapter_2Power point2007 chapter_2
Power point2007 chapter_2almario1988
 
Power point2007 chapter_1
Power point2007 chapter_1Power point2007 chapter_1
Power point2007 chapter_1almario1988
 
Ethics for IT Professionals and IT Users
Ethics for IT Professionals and IT UsersEthics for IT Professionals and IT Users
Ethics for IT Professionals and IT Usersalmario1988
 

More from almario1988 (20)

Module 1.4 internal analysis
Module 1.4    internal analysisModule 1.4    internal analysis
Module 1.4 internal analysis
 
Module 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipModule 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurship
 
Module 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurshipModule 1.2 basics of technopreneurship
Module 1.2 basics of technopreneurship
 
Ppt lesson 17
Ppt lesson 17Ppt lesson 17
Ppt lesson 17
 
Intro ch 09_b
Intro ch 09_bIntro ch 09_b
Intro ch 09_b
 
Intro ch 08_b
Intro ch 08_bIntro ch 08_b
Intro ch 08_b
 
Intro ch 04_b
Intro ch 04_bIntro ch 04_b
Intro ch 04_b
 
Chap01mc
Chap01mcChap01mc
Chap01mc
 
Power point2007 chapter_3
Power point2007 chapter_3Power point2007 chapter_3
Power point2007 chapter_3
 
Intro ch 04_b
Intro ch 04_bIntro ch 04_b
Intro ch 04_b
 
Power point2007 chapter_3
Power point2007 chapter_3Power point2007 chapter_3
Power point2007 chapter_3
 
Power point2007 chapter_2
Power point2007 chapter_2Power point2007 chapter_2
Power point2007 chapter_2
 
Power point2007 chapter_1
Power point2007 chapter_1Power point2007 chapter_1
Power point2007 chapter_1
 
Ppt lesson 05
Ppt lesson 05Ppt lesson 05
Ppt lesson 05
 
Intro ch 04_a
Intro ch 04_aIntro ch 04_a
Intro ch 04_a
 
Ecom
EcomEcom
Ecom
 
Intro ch 05_a
Intro ch 05_aIntro ch 05_a
Intro ch 05_a
 
Intro ch 10_a
Intro ch 10_aIntro ch 10_a
Intro ch 10_a
 
Intro ch 02_b
Intro ch 02_bIntro ch 02_b
Intro ch 02_b
 
Ethics for IT Professionals and IT Users
Ethics for IT Professionals and IT UsersEthics for IT Professionals and IT Users
Ethics for IT Professionals and IT Users
 

Recently uploaded

Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 

Recently uploaded (20)

Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 

(Binary tree)